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Completed or soon-to-be completed PhD (within the last 0-5 years) in Computer Science, Physics, Mathematics, or related field Experience with modeling complex systems or natural language processing
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from primary scientific literature Good programming skills using common computer languages This position description documents the general nature and level of work but is not intended to be a
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for such models include high-resolution 3D imaging, time-resolved materials characterization, and atomic structure determination. Scientific instrument data is often multimodal in nature and developing DL models
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of hydrologic and hydrodynamic processes and modeling. Experience in applying AI/ML for hydrologic and hydrodynamic predictions Experience in using AI/ML frameworks (e.g., PyTorch, TensorFlow, Flux, or similar
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, TRITON, ANUGA, etc.). Understanding of hydrologic and hydrodynamic processes and coupled modeling. Experience in large-scale hydrologic and hydrodynamic modeling, calibration techniques, and data
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on decarbonization of industrial processes and energy systems. The candidate would conduct research involving the use of in-house energy systems optimization and simulation tools as well as established energy-economy
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applicants with a combination of engineering background and extensive knowledge and experience of Python programming language, including building application programming interfaces (APIs), integrations using